inls 560 – r elational databases instructor: jason carter

INLS 560 – RELATIONAL DATABASES

Instructor: Jason Carter

INPUT AND OUTPUTInput from the keyboard:

Output to the console:

INPUT AND OUTPUT Input from flat files

Output from files

INPUT AND OUTPUT

Databases Relational Graph Object-oriented

RELATIONAL DATABASES

Model data by storing rows and columns in tables

Efficiently retrieve data from those tables and in particular where there are multiple tables and the relationships between those tables involved in the query.

RELATIONAL DATABASE SYSTEMS IN WIDE USE

Three Major Database Management Systems in wide use

Oracle - Large, commercial, enterprise-scale, very very tweakable

MySql - Simpler but very fast and scalable - commercial open source

SqlServer - Very nice - from Microsoft (also Access) Postgres – Open source, enterprise scale SQLite – Very small, mostly used for one user

TERMINOLOGY

Database - Contains many tables Table - contains rows and columns Row - is a set of fields it generally represents

an “object” like a person or a music track Column- One of possibly many elements of

data corresponding to the object represented by the row

TABLE

Columns

Rows

SQLITE DATABASE MANAGER

SQLite is a very popular database - it is free and fast and small

There are many programs to manage/manipulate SQL Databases http://sqlitebrowser.org/

SQLite is embedded in Python and a number of other languages

SQLITE DATABASE MANAGER (CONT’D)

START SIMPLE - A SINGLE TABLE

Lets make a table of People - with a Name and an E-Mail

CLICK NEW DATABASE

ENTER A FILE NAME FOR THE DATABASE

CREATE A TABLE

Make sure you click OK.

SAVING CHANGES

ENTERING DATA

STRUCTURED QUERY LANGUAGE (SQL)

Structured Query Language: the language we use to issue commands to the database

Create a table Retrieve some data Insert data Delete data Update data

RETRIEVING RECORDS: SELECT STATEMENT The select statement retrieves a group of

records - you can either retrieve all the records or a subset of the records with a WHERE clause

select * from people

select * from table_name

select * from table_name where column_name = ‘value’

select * from people where email = ‘carterjl@cs.unc.edu’

EXECUTING A SELECT QUERY

EXECUTING A SELECT QUERY

INSERTING RECORDS: INSERT STATEMENT The Insert statement inserts a row into a table

insert into table_name (column_name, column_name) values (‘Jack Carter’,

‘jack@gmail.com’)

insert into people (name, email) values (‘Jack Carter’, ‘jack@gmail.com’)

EXECUTING AN INSERT QUERY

VIEWING RESULTS OF INSERT QUERY

UPDATING AND DELETING RECORDS FROM DATABASES

Update:

update table_name set column_name = “value” where column_name = “value”

update people set name= “John Carter” where email= “johncarter@gmail.com”

Delete:

delete from table_name where column_name = “value”

delete from people where name= “John Carter”

SQL SUMMARY

select * from people

select * from people where email = ‘carterjl@cs.unc.edu’

insert into people (name, email) values (‘Jack Carter’, ‘jack@gmail.com’)

update people set name= “John Carter” where email= “johncarter@gmail.com”

delete from people where name= “John Carter”

THIS IS NOT TOO EXCITING (SO FAR)

Tables pretty much look like big fast programmable spreadsheet with rows, columns, and commands

The power comes when: We have more than one table and we can exploit

the relationships between the tables Programmatically manipulate tables

COMPLEX DATA MODELS AND RELATIONSHIPS

DATABASE DESIGN

Database design is an art form of its own with particular skills and experience

Our goal is to avoid the really bad mistakes and design clean and easily understood databases

Others may performance tune things later Database design starts with a picture...

PROGRAMMATICALLY MANIPULATE TABLES

RETRIEVING ALL RECORDS FROM A DATABASE TABLE USING PYTHON

RETRIEVING ALL RECORDS FROM A DATABASE TABLE USING PYTHON OUTPUT

INSERTING DATA INTO A DATABASE TABLE USING PYTHON

INSERTING DATA INTO A DATABASE TABLE USING PYTHON OUTPUT

PRACTICE

Create a database named Products. Create a table named products. Create rows for

products (product_id, product_name). Write code that inserts data into the products

table. Write code that retrieves data from the products

table

RETRIEVING SPECIFIC RECORDS FROM A DATABASE TABLE USING PYTHON

RETRIEVING SPECIFIC RECORDS FROM A DATABASE TABLE USING PYTHON OUTPUT

PRACTICE

Write code updates a record (the product name) using a product id.

Write code deletes a record using a product id.